The event food is sponsored by O'Reilly Strata. Use your20% discount code:UGNYCDSA20 at Strata, buy from http://oreil.ly/1goinVK

Also, we will raffle off a free Strata pass, worth $1000+!

Thank SupStat Inc Data Scientist team's technical support to make this hack session be possible. Also, they are giving away a few of free cute t-shirts, business pens and other swags!

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Outline:

Previously,Josh Katz, Graphics Editor at The New York Times, talked on June 10 to discuss one of his projects, the Dialect Map. He discussed how spatial statistics, data visualization and information design all came together.(Seeblog post and video)

The Dialect Map project was the Times most popular content of the entire year of 2013. From the survey results, Josh created a series of maps depicting regional dialect variation in the US, which set off a sensation on the Internet and in popular media. From this, he developed the New York Times dialect quiz, turning what began as an exercise in spatial statistics and data visualization into some of the most-viewed content in NYT history.

In his talk, Josh delved into the background and development of the dialect maps and quizthe story in general, as well as the math behind them. He talked about how data visualization and statistics could be used to illustrate the hidden contours of our world, extricating narrative from numbers and turning data into stories.

In this hack session,Vivian will tell you all you should know about choropleth map in R to make Dialect map. We will start from the data scraping step to build the database of the survey, then we will march to the shiny development including functions for map plotting. Finally we will establish a fully developed shiny application demonstrating the dialect map project.

Speaker:Vivian Zhang isCo-Founder & CTO of Supstat Inc, a Statistical Consulting firm of top Data Scientists, Vivian is a data scientist who has been devoted to the analytics industry and the development and use of data technologies for several years. You can follow her on Twitter at @vivian_zhang@SupStat@nycdatascior #nycdatasci

Pre-requisites:It would be better if you have some knowledge in ggplot2, but it is not required.

Preparation: If you want to follow along, download these packages in R:(just run these codes):install.packages(c("maps", "mapproj", "mapdata", "ggplot2") and check thedatasetout.

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